USGS scientist John Fulton measures streamflow on Middle Fork Ranch Creek, Colorado using instream, conventional methods. USGS radar equipment is also shown recording non-contact river discharge.
Graham Sexstone
I am a Research Hydrologist in the USGS Colorado Water Science Center and Affiliate Faculty member of the Department of Geosciences at Colorado State University.
I investigate snow and hydrological processes in mountainous environments of the United States that are critically important for understanding water resources and availability for the nation. My current research uses a combination of field-based measurements, remote sensing observations, and physically based modeling over a range of spatial scales to better understand the spatial and temporal variability of snow water resources and how changes in snow processes are linked with changes to water availability, water budgets, and water quality. I received my PhD in Watershed Science from Colorado State University in 2016 and studied the importance of snow sublimation to seasonal snowpack variability. A list of my Science and Products are provided below and can also be viewed on my Google Scholar page.
Science and Products
Rocky Mountain Regional Snowpack Chemistry Monitoring Study
Estimating the Future Effects of Forest Disturbance on Snow Water Resources in a Changing Environment
Linking water, carbon, and nitrogen cycles in seasonally snow-covered catchments under changing land resource conditions
Snowpack Sublimation - Measurements and Modeling in the Colorado River Basin
Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22
High Resolution Canopy Structure and Density Metrics for Southwest Colorado Derived from 2019 Aerial Lidar
Snow Measurements in Specific Canopy Structure Regimes for the 2022-2023 Water Years, North of Coal Creek, San Juan Mountains, Colorado, USA
NGWOS Ground Based Discrete Snowpack Measurements
High Resolution Current and Future Climate SnowModel Simulations in the Upper Colorado River Basin
Basin Characteristics and Streamflow Statistics for Selected Gages, Alaska, USA (ver. 2.0, September, 2022)
Historical simulated snowpack for the Lake Sherburne, MT watershed and vicinity, water years 1980-2019
National Hydrologic Model Alaska Domain parameter database, version 1
SnowModel simulations and supporting observations for the Rio Grande Headwaters, southwestern Colorado, United States, 1984 - 2017
Climatological data for the Loch Vale watershed in Rocky Mountain National Park, Colorado, water years 1992-2019
Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1
Data release in support of Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model
![USGS scientist John Fulton measures streamflow on Middle Fork Ranch Creek, Colorado using instream, conventional methods.](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/thumbnails/image/RQ30%2BFT2.jpg?itok=7LQHA_8A)
USGS scientist John Fulton measures streamflow on Middle Fork Ranch Creek, Colorado using instream, conventional methods. USGS radar equipment is also shown recording non-contact river discharge.
Modeling forest snow using relative canopy structure metrics
Aquatic carbon export and dynamics in mountain headwater streams of the western U.S.
Snowpack relative permittivity and density derived from near-coincident lidar and ground-penetrating radar
Snow surface roughness across spatio-temporal scales
High resolution SnowModel simulations reveal future elevation-dependent snow loss and earlier, flashier surface water input for the Upper Colorado River Basin
Upper Rio Grande Basin water-resource status and trends: Focus area study review and synthesis
Evaluating hydrologic region assignment techniques for ungaged basins in Alaska, USA
Black carbon dominated dust in recent radiative forcing on Rocky Mountain snowpacks
Snow depth retrieval with an autonomous UAV-mounted software-defined radar
Spatial variability in seasonal snowpack trends across the Rio Grande headwaters (1984 - 2017)
Changes in climate and land cover affect seasonal streamflow forecasts in the Rio Grande headwaters
Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model
Science and Products
Rocky Mountain Regional Snowpack Chemistry Monitoring Study
Estimating the Future Effects of Forest Disturbance on Snow Water Resources in a Changing Environment
Linking water, carbon, and nitrogen cycles in seasonally snow-covered catchments under changing land resource conditions
Snowpack Sublimation - Measurements and Modeling in the Colorado River Basin
Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22
High Resolution Canopy Structure and Density Metrics for Southwest Colorado Derived from 2019 Aerial Lidar
Snow Measurements in Specific Canopy Structure Regimes for the 2022-2023 Water Years, North of Coal Creek, San Juan Mountains, Colorado, USA
NGWOS Ground Based Discrete Snowpack Measurements
High Resolution Current and Future Climate SnowModel Simulations in the Upper Colorado River Basin
Basin Characteristics and Streamflow Statistics for Selected Gages, Alaska, USA (ver. 2.0, September, 2022)
Historical simulated snowpack for the Lake Sherburne, MT watershed and vicinity, water years 1980-2019
National Hydrologic Model Alaska Domain parameter database, version 1
SnowModel simulations and supporting observations for the Rio Grande Headwaters, southwestern Colorado, United States, 1984 - 2017
Climatological data for the Loch Vale watershed in Rocky Mountain National Park, Colorado, water years 1992-2019
Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1
Data release in support of Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model
![USGS scientist John Fulton measures streamflow on Middle Fork Ranch Creek, Colorado using instream, conventional methods.](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/thumbnails/image/RQ30%2BFT2.jpg?itok=7LQHA_8A)
USGS scientist John Fulton measures streamflow on Middle Fork Ranch Creek, Colorado using instream, conventional methods. USGS radar equipment is also shown recording non-contact river discharge.
USGS scientist John Fulton measures streamflow on Middle Fork Ranch Creek, Colorado using instream, conventional methods. USGS radar equipment is also shown recording non-contact river discharge.